In a bold move set to ignite India’s artificial intelligence landscape, AM Intelligence is reportedly poised to raise $3 billion to acquire Nvidia’s next-generation Rubin graphics processing units (GPUs). The Hyderabad-based AI infrastructure firm aims to secure funds via bond issues and bank loans, according to a Bloomberg report. This strategic purchase will be part of their massive plan to establish a 100 MW computing power facility, distributed across centers in Malaysia and India, with an overall investment of $6 billion.
AM Intelligence has emerged as one of the largest committed buyers of Rubin GPUs outside North America. This development aligns with the company’s ambition to deploy computing power on a grand scale. It plans to purchase 29,000 Nvidia Rubin chips to fulfill its 100 MW capacity and eyes a further expansion of 300 MW within fifteen months, supported by more than $20 billion in investment.
The company’s funding strategy anticipates a split between bond and loan financing, although specifics remain under wraps. Furthermore, AM Intelligence expects an upfront payment of $300 million from prospective offtakers, securing critical initial capital for its ambitious project.
Owned by the founders of Greenko, a leading Indian renewable energy company, AM Intelligence is evolving into a significant player in India’s burgeoning tech landscape. Their investment in Nvidia’s Rubin GPUs—a product tailored for advanced AI tasks—positions them at the forefront of tech innovation in the region. This first-mover advantage will likely facilitate significant contributions to agentic AI applications, a rapidly growing focus for enterprises worldwide.
India, witnessing a technological transformation, is host to several AI-focused infrastructure initiatives. Earlier this year, Mumbai’s Yotta Data Services announced a $2 billion investment to launch an AI hub utilizing Nvidia’s Blackwell Ultra GPUs, underscoring the nation’s vibrant tech ecosystem.
Neil Shah, vice president at Counterpoint Research, emphasizes the trend of energy companies transitioning into “neocloud” enterprises. Giants such as Adani Group, Reliance, and Tata Power are similarly investing in data center capabilities, offering computing power on lease to meet hyperscaler demand. Shah believes AM Intelligence’s focus on agentic AI perfectly aligns with these industry’s shifting priorities.
Looking at the broader spectrum, AM Intelligence’s announcement comes as the company forecasts the development of 5 GW of AI data centers globally, with 1 GW of computation-as-a-service in regions including India, the U.S., and Europe. Within two years, they plan to establish 400 MW of compute capacity—an endeavor bound to redefine regional AI capabilities.
In an increasingly competitive global technology landscape, AM Intelligence’s ambitious plans underscore not only their growth ambitions but also highlight India’s emergence as a critical player in the AI infrastructure sector.
You can read the original article here: [https://www.cnbc.com/2026/10/30/nvidia-india-ai-chips-computing.html](https://www.cnbc.com/2026/10/30/nvidia-india-ai-chips-computing.html)
